{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "patch vulnerability", "trigger": true, "arguments": ["patch", "patch number", "common vulnerabilities and exposures", "issues addressed", "vulnerability", "supported platform", "vulnerable system version", "releaser"]}, {"event_type": "discover vulnerability", "trigger": true, "arguments": ["vulnerability", "discoverer", "vulnerable system", "vulnerable system version", "capabilities", "supported platform", "time"]}, {"event_type": "data breach", "trigger": true, "arguments": ["number of victim", "attacker", "tool", "number of data", "purpose", "compromised data", "victim", "place", "time"]}, {"event_type": "phishing", "trigger": true, "arguments": ["purpose", "tool", "place", "trusted entity", "attack pattern", "time"]}, {"event_type": "ransom", "trigger": true, "arguments": ["price", "time", "tool", "attacker", "place", "victim"]}], "input": "From a business standpoint , paying a small ransom made more sense , he said ."}
{"patch vulnerability": [], "discover vulnerability": [], "data breach": [], "phishing": [], "ransom": [{"trigger": "paying a small ransom", "arguments": {"price": "NAN", "time": "NAN", "tool": "NAN", "attacker": "NAN", "place": "NAN", "victim": "business"}}]}